Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

Please specify your search by selecting options from boxes. Then, click "Search" to find HLA Haplotype frequencies that match your criteria. Remember at least one option must be selected.
A B C DRB1 DPA1 DPB1 DQA1 DQB1

Population:  Country:  Source of dataset : 
Region:  Ethnic Origin:     Type of study :  Sort by: 
Sample Size:      Sample Year:     Loci Tested: 
Displaying 1 to 100 (from 717) records   Pages: 1 2 3 4 5 6 7 8 of 8  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*24:02-B*52:01-C*12:02-DRB1*15:02  Japan pop 16 8.377018,604
 2  A*24:02-B*52:01-C*12:02-DRB1*15:02-DRB5*01:02-DQB1*06:01  USA NMDP Japanese 7.823424,582
 3  A*24:02-B*52:01-C*12:02-DRB1*15:02-DQA1*01:03-DQB1*06:01-DPA1*02:01-DPB1*09:01  Japan pop 17 7.32003,078
 4  A*24:02-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01-DPB1*09:01  Japan Central 6.2000371
 5  A*01:01-B*52:01-C*12:02-DRB1*15:02  Russia Bering Island Aleuts 2.8846104
 6  A*11:01-B*52:01-C*12:02-DRB1*15:02-DQA1*01:03-DQB1*06:01  United Arab Emirates Abu Dhabi 2.880052
 7  A*01-B*52-C*12-DRB1*15  Macedonia MBMDR - Macedonian Muslims 2.631676
 8  A*01-B*52-C*12-DRB1*15/16-DQB1*06  Spain Majorcans Jews 2.6000103
 9  A*11-B*52-C*12-DRB1*15  Iran pop 4 2.6000855
 10  B*52:01-C*12:02-DRB1*15:02  South Korea pop 3 2.4000485
 11  A*03:01-B*52:01-C*12:02-DRB1*15:02-DQA1*01:03-DQB1*06:01  United Arab Emirates Abu Dhabi 1.920052
 12  A*24:02-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  South Korea pop 3 1.9000485
 13  A*24:02-B*52:01-C*12:02-DRB1*15:02-DRB5*01:02-DQB1*06:01  USA NMDP Korean 1.869677,584
 14  A*02:11:01-B*52:01:01-C*12:02:02-DRB1*15:02:01-DQB1*06:01:01  India Andhra Pradesh Telugu Speaking 1.6129186
 15  A*01-B*52-C*12-DRB1*15-DQB1*06  Iraq Kurdistan Region 1.6000209
 16  A*24:02-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01-DPB1*05:01  Japan Central 1.5000371
 17  A*11:01:01-B*52:01:01-C*12:02:02-DRB1*15:02:01-DQB1*06:01:01  India Andhra Pradesh Telugu Speaking 1.3250186
 18  A*24:02-B*52:01-C*12:02-DRB1*15:02-DQA1*01:03-DQB1*06:01-DPB1*09:01  USA San Diego 1.3020496
 19  A*11:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  India South UCBB 1.256511,446
 20  A*03-B*52-C*12-DRB1*15-DQB1*06  Iraq Kurdistan Region 1.2000209
 21  A*11:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  India East UCBB 1.09952,403
 22  A*01:01-B*52:01-C*12:02-DRB1*15:02:01-DQB1*06:01  England North West 1.0000298
 23  A*11-B*52-C*12-DRB1*15-DQB1*06  Iraq Kurdistan Region 1.0000209
 24  A*11:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  India West UCBB 0.98925,829
 25  A*24:02-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  USA Asian pop 2 0.97701,772
 26  A*32:01-B*52:01-C*12:02-DRB1*15:01-DQA1*01:02-DQB1*06:01  United Arab Emirates Abu Dhabi 0.960052
 27  A*11-B*52-C*12-DRB1*15  Myanmar Chin 0.909055
 28  A*11:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  India Central UCBB 0.89084,204
 29  A*11:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  India North UCBB 0.87615,849
 30  A*11:01-B*52:01-C*12:02-DRB1*15:02-DRB5*01:02-DQB1*06:01  USA NMDP South Asian Indian 0.8342185,391
 31  A*24:02-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  India East UCBB 0.81732,403
 32  A*24:02-B*52:01-C*12:02-DRB1*15:02-DQA1*01:03-DQB1*06:01-DPA1*02:02-DPB1*05:01  Japan pop 17 0.78003,078
 33  A*11:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  Malaysia Peninsular Indian 0.7380271
 34  A*24:02-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  India Central UCBB 0.72554,204
 35  A*11:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  India Northeast UCBB 0.6757296
 36  A*11-B*52-C*12:02-DRB1*15:02-DQB1*06  Russia Transbaikal Territory Buryats 0.6670150
 37  A*01:01:01-B*52:01:01-C*12:02:02-DRB1*15:02-DQA1*01:03:01-DQB1*06:01-DPA1*01:03:01-DPB1*04:01:01  Russia Belgorod region 0.6536153
 38  A*02:01:01-B*52:01:01-C*12:02:02-DRB1*15:02-DQA1*01:03:01-DQB1*06:01-DPA1*01:03:01-DPB1*04:01  Russia Belgorod region 0.6536153
 39  A*32:01:01-B*52:01:01-C*12:02:02-DRB1*15:02:01  Nicaragua Mestizo (G) 0.6452155
 40  A*11:01-B*52:01-C*12:02-DRB1*15:02-DRB5*01:02-DQB1*06:01  USA NMDP Southeast Asian 0.606327,978
 41  A*66:01-B*52:01-C*12:02-DRB1*15:02-DQA1*01:01-DQB1*05:01-DPB1*09:01  South Africa Worcester 0.6000159
 42  A*01:01-B*52:01-C*12:02-DRB1*15:02-DRB5*01:02-DQB1*06:01  USA NMDP Middle Eastern or North Coast of Africa 0.583770,890
 43  A*03:01:01-B*52:01:01-C*12:02:02-DRB1*15:02:01-DQB1*06:01:01  India Karnataka Kannada Speaking 0.5750174
 44  A*11:01:01-B*52:01:01-C*12:02:01-DRB1*15:02:01-DQB1*06:01:01  India Karnataka Kannada Speaking 0.5750174
 45  A*11:01-B*52:01-C*12:02-DRB1*15:02-DRB5*01:02-DQB1*06:01  USA NMDP Middle Eastern or North Coast of Africa 0.567370,890
 46  A*11:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  Germany DKMS - Turkey minority 0.55804,856
 47  A*02:11-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  Malaysia Peninsular Indian 0.5535271
 48  A*11-B*52-C*12-DRB1*15  Macedonia MBMDR - Macedonian 0.54851,283
 49  A*31:01:02:01-B*52:01:01:02-C*12:02:02-DRB1*15:02-DQB1*06:01  Russia Bashkortostan, Tatars 0.5208192
 50  A*02:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  India South UCBB 0.504211,446
 51  A*02:01:01-B*52:01:01-C*12:02:02-DRB1*15:02:01-DQB1*03:03:02  Vietnam Kinh 0.4950101
 52  A*24:02:13-B*52:01:01-C*12:02:02-DRB1*15:02:02-DQB1*06:01:01  Vietnam Kinh 0.4950101
 53  A*11:01-B*52:01-C*12:02-DRB1*15:02-DQA1*01:03-DQB1*06:01-DPB1*04:01  Sri Lanka Colombo 0.4902714
 54  A*74:01-B*52:01:01-C*12:02:02-DRB1*15:02:01  Costa Rica African -Caribbean (G) 0.4902102
 55  A*01:01:01-B*52:01:01-C*12:02:02-DRB1*15:02:01-DQB1*06:01:01  Spain, Canary Islands, Gran canaria island 0.4700215
 56  A*01:01-B*52:01-C*12:02-DRB1*15:02  Germany DKMS - Greece minority 0.45301,894
 57  A*24:02-B*52:01-C*12:02-DRB1*15:02-DQA1*01:03-DQB1*06:01-DPB1*02:01  Nicaragua Managua 0.4329339
 58  A*02:01:01-B*52:01:01-C*12:02:02-DRB1*15:02:01-DQA1*01:05:01-DQB1*06:01:01-DPA1*01:03:01-DPB1*04:01:01  Russian Federation Vologda Region 0.4202119
 59  A*11:01-B*52:01:01-C*12:02:02-DRB1*15:02-DQA1*01:03:01-DQB1*06:01-DPA1*01:03:01-DPB1*04:01  Russian Federation Vologda Region 0.4202119
 60  A*32:01:01-B*52:01:01-C*12:02:02-DRB1*15:02:02-DQA1*01:03:01-DQB1*06:01:01-DPA1*01:03:01-DPB1*04:01:01  Russian Federation Vologda Region 0.4202119
 61  A*24:02-B*52:01-C*12:02-DRB1*15:02-DQA1*01:03-DQB1*06:01-DPA1*01:03-DPB1*02:01  Japan pop 17 0.42003,078
 62  A*01:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  USA NMDP Caribean Indian 0.418114,339
 63  A*02:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  USA NMDP Caribean Indian 0.404314,339
 64  A*02:11-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  India South UCBB 0.403711,446
 65  A*01:01-B*52:01-C*12:02-DRB1*15:02-DQA1*01:03-DQB1*06:01  Kosovo 0.4030124
 66  A*11:01-B*52:01-C*12:02-DRB1*15:02  Germany DKMS - Greece minority 0.39201,894
 67  A*24:02-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  India North UCBB 0.39075,849
 68  A*68-B*52-C*12-DRB1*15  Macedonia MBMDR - Albanian 0.3906128
 69  A*32:01:01-B*52:01:01-C*12:02:02-DRB1*15:02:01-DQB1*06:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.3891521
 70  A*01:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  Germany DKMS - Italy minority 0.38301,159
 71  A*01:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01-DPB1*04:01  Panama 0.3800462
 72  A*11:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  USA Asian pop 2 0.37501,772
 73  A*24:02-B*52:01-C*12:02-DRB1*15:02-DRB5*01:02-DQB1*06:01  USA NMDP South Asian Indian 0.3749185,391
 74  A*02:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  USA Hispanic pop 2 0.37401,999
 75  A*02:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  India Central UCBB 0.36884,204
 76  A*24:02-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  India South UCBB 0.358111,446
 77  A*01:01-B*52:01-C*12:02-DRB1*15:02  Germany DKMS - Spain minority 0.35701,107
 78  A*01:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  Germany DKMS - Turkey minority 0.35504,856
 79  A*02:642-B*52:01-C*12:02-DRB1*15:01-DQB1*06:02  Mexico Mexico City Mestizo population 0.3497143
 80  A*02-B*52-C*12-DRB1*15  Macedonia 0.3497286
 81  A*03-B*52-C*12-DRB1*15  Macedonia 0.3497286
 82  A*11-B*52-C*12-DRB1*15  Macedonia 0.3497286
 83  B*52:01-C*12:02-DRB1*15:01-DQB1*06:02  Mexico Mexico City Mestizo population 0.3497143
 84  A*24:02-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  India West UCBB 0.34955,829
 85  A*24:02-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  Germany DKMS - Italy minority 0.34801,159
 86  A*11:01-B*52:01-C*12:02-DRB1*15:03  Brazil Vale do Ribeira Quilombos 0.3472144
 87  A*24:02-B*52:01-C*12:02-DRB1*15:02-DRB5*01:02-DQB1*06:01  USA NMDP Southeast Asian 0.346127,978
 88  A*02:11-B*52:01-C*12:02-DRB1*15:02  Germany DKMS - Greece minority 0.34301,894
 89  A*02:06-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  India North UCBB 0.34295,849
 90  A*01:01-B*52:01-C*12:02-DRB1*15:02-DRB5*01:02-DQB1*06:01  USA NMDP Caribean Hispanic 0.3426115,374
 91  A*11-B*52-C*12-DRB1*15-DQB1*06  Albania pop 2 0.3400432
 92  A*33-B*52-C*12-DRB1*15-DQB1*06  Albania pop 2 0.3400432
 93  A*11:01-B*52:01-C*12:02-DRB1*15:02  Germany DKMS - Croatia minority 0.33902,057
 94  A*33:03-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  India Northeast UCBB 0.3378296
 95  A*24-B*52-C*12:02-DRB1*15:01-DQB1*06  Russia Transbaikal Territory Buryats 0.3340150
 96  A*32-B*52-C*12:02-DRB1*15:02-DQB1*06  Russia Transbaikal Territory Buryats 0.3340150
 97  A*01:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  India East UCBB 0.32992,403
 98  A*02-B*52-C*12-DRB1*15-DQA1*01-DQB1*06  Spain, Castilla y Leon, Northwest, 0.32971,743
 99  A*11:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  USA Hispanic pop 2 0.32701,999
 100  A*02:01:01-B*52:01:01-C*12:02:02-DRB1*15:02-DQA1*01:03:01-DQB1*06:01-DPA1*01:03:01-DPB1*04:01:01  Russia Belgorod region 0.3268153

Notes:

* Haplotype Frequencies: Total number of copies of the haplotype in the population sample (Haplotypes / 2n) shown in percentages (%).
   Important: This field has been expanded to two decimals to better represent frequencies of large datasets (e.g. where sample size > 1000 individuals)
¹ Distribution - Shows the geographic distribution in overlaid maps of the complete haplotype (left icon) or the input alleles if low level resolution was entered (right icon).


Displaying 1 to 100 (from 717) records   Pages: 1 2 3 4 5 6 7 8 of 8  


   

Allele frequency net database (AFND) 2020 update: gold-standard data classification, open access genotype data and new query tools
Gonzalez-Galarza FF, McCabe A, Santos EJ, Jones J, Takeshita LY, Ortega-Rivera ND, Del Cid-Pavon GM, Ramsbottom K, Ghattaoraya GS, Alfirevic A, Middleton D and Jones AR Nucleic Acid Research 2020, 48:D783-8.
Liverpool, U.K.

support@allelefrequencies.net


Valid XHTML 1.0 Transitional